Energetic Particle Transport Prediction for CFETR Steady State Scenario Based on Critical Gradient Model

doi:10.1088/0256-307X/38/4/045203

Chin. Phys. Lett.

2021, Vol. 38

Issue (4): 045203 DOI: 10.1088/0256-307X/38/4/045203

PHYSICS OF GASES, PLASMAS, AND ELECTRIC DISCHARGES

Energetic Particle Transport Prediction for CFETR Steady State Scenario Based on Critical Gradient Model

Yunpeng Zou¹, V. S. Chan^2,3, Wei Chen^1*, Yongqin Wang¹, Yumei Hou¹, and Yiren Zhu¹

¹Southwestern Institute of Physics, Chengdu 610041, China ²General Atomics, San Diego, CA 92186, USA
³School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230026, China

Cite this article:

Yunpeng Zou, V. S. Chan, Wei Chen et al 2021 Chin. Phys. Lett. 38 045203

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Abstract The critical gradient mode (CGM) is employed to predict the energetic particle (EP) transport induced by the Alfvén eigenmode (AE). To improve the model, the normalized critical density gradient is set as an inverse proportional function of energetic particle density; consequently, the threshold evolves during EP transport. Moreover, in order to consider the EP orbit loss mechanism in CGM, ORBIT code is employed to calculate the EP loss cone in phase space. With these improvements, the AE enhances EPs radial transport, pushing the particles into the loss cone. The combination of the two mechanisms raises the lost fraction to 6.6%, which is higher than the linear superposition of the two mechanisms. However, the loss is still far lower than that observed in current experiments. Avoiding significant overlap between the AE unstable region and the loss cone is a key factor in minimizing EP loss.

Received: 01 December 2020 Published: 06 April 2021

PACS:	52.25.Fi	(Transport properties)
	52.35.Bj	(Magnetohydrodynamic waves (e.g., Alfven waves))
	52.65.Cc	(Particle orbit and trajectory)
	52.65.Ff	(Fokker-Planck and Vlasov equation)

Fund: Supported by the National Key R&D Program of China (Grant No. 2019TFE03020000), the National Natural Science Foundation of China (Grant Nos. 11875021, 12005054, and 12005055), the Sichuan Science and Technology Program (Grant No. 2020jqqn0070).

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https://cpl.iphy.ac.cn/10.1088/0256-307X/38/4/045203 OR https://cpl.iphy.ac.cn/Y2021/V38/I4/045203

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	Yunpeng Zou
	V. S. Chan
	Wei Chen
	Yongqin Wang
	Yumei Hou
	and Yiren Zhu

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